scholarly journals Filling the weight gap: Estimating body weight and BMI using height, chest and upper arm circumference of Swiss conscripts in the first half of the 20th century

2020 ◽  
Vol 38 ◽  
pp. 100891
Author(s):  
Fabienne P Trüb ◽  
Jonathan CK Wells ◽  
Frank J Rühli ◽  
Kaspar Staub ◽  
Joël Floris
2016 ◽  
Vol 1 (2) ◽  
pp. 88
Author(s):  
Halimatussakdiah Halimatussakdiah ◽  
Ampera Miko

Maternal Mortality is mostly caused by bleeding (32 %), hypertension during pregnancy (25 %). Infection (5 %), long parturition  5 %),  and chronic energy deficiency (27.66 %). The objective of this research was to find out of correlation Between Maternal  Anthropometry  (Body Weight, Mid Upper Arm Circumference, Fundal Height) And Reflex physiology Of Normal Newborn Babies In delivery room  of Regional Public Hospital Of Meuraxa Banda  Aceh. The research was conducted from September 4 to September 22, 2016. The descriptive  correlation design with cross sectional study approach was used in this research. There were thirty  research sample that were chosen by using accidental sampling method. The result of this research indicated that were was  no correlation between body Weight of pregnant woman with reflex physiology of their normal Newborn Babies In Delivery Room  Of Regional Public Hospital of Meuraxa Banda  Aceh (p Value 0.174). There was a correlation Between Mid Upper Arm Circumference (MUAC) of pregnant women with reflex physiology of their normal Newborn Babies (p Value 0.020). There was also  a correlation between fundal height with reflex physiology of their normal Newborn Babies (p Value 0.000). Based on those result, it is suggest that the pregnant women should pay nurse attention to their health by doing regular check -ups during  pregnancy in order to prevent any complication. It is also suggested that the health worker keep enhancing the medical service, such us the measurement of body weight, MUAC and fundal height. Keywords: Anthropometry, reflex physiology, normal newborn babies


2020 ◽  
Vol 24 (3) ◽  
pp. 141-148
Author(s):  
Kenan Erdağı ◽  
Osman Tüfekçi ◽  
Mustafa Yeşeri ◽  
Mehmet F. Yüksel ◽  
Nimet Turgut ◽  
...  

Background and Study Aim: Handgrip strength is widely accepted as a functionality parameter to assess upper extremity performance. The measurement of hand grip strength by dynamometry is a low cost, non-invasive method of simple applicability. The present study is based on the association of dominant and non-dominant handgrip strength with demographic and anthropometric characteristics; height, body weight, body mass index, upper arm length, forearm length, hand length, forearm circumference, upper arm circumference. Material and Methods: The study included 70 male athletes in olympic style weightlifting (age: 18.06±2.18, height:1.74±.06 m, body weight: 76.09±13.04 kg). A total of 70 sedentary individuals as a control group (age 18.11±.18, height:1.75±.04 m, body weight: 74.01±13.94 kg) were also taken to compare study findings. The data obtained was analyzed by SPPS for Windows, version 25. Handgrip strength measurements were obtained by a Jamar dynamometer, according to the recommendations of the American Association of Hand Therapists. Results: It was found that the values of dominant and non-dominant handgrip strength, upper arm circumference and forearm circumference length of the weightlifting athletes were higher than those of sedentary individuals (p<.001). No asymmetry was observed in dominant and non-dominant handgrip strength values of the athletes and sedentary individuals. The correlations were noted between dominant and non-dominant handgrip strength values of weightlifting athletes and demographic characteristics, some anthropometric characteristics of upper extremity and weightlifting performance. Conclusion: The variability of handgrip strength might largely be explained by some anthropometric characteristics of upper extremity.


2020 ◽  
Vol 8 (T2) ◽  
pp. 90-93
Author(s):  
Citrakesumasari Citrakesumasari ◽  
Yessy Kurniati ◽  
Andi Imam Arundhana ◽  
Abdul Salam

BACKGROUND: Assessment of nutritional status in hospital patients is important to do. However, due to the patient’s condition, the measurement must use an estimation formula. This study wanted to know the accuracy of the measurement of body weight from the formula commonly used in hospitals. AIM: This study wants to see how accurate the actual body weight predictions are based on measurements of UAC in the ethnics in the province of South Sulawesi. METHODS: The design of this study was cross-sectional. The population of this study was young adults aged 20–29 years. Number of sample is 896 respondents. Sampling consists of 2 stages, namely sample area and research sample. The sampling used was systematic random sampling. The sample size in this study was calculated using the Stanley Lemeshow formula. RESULTS: The results showed that the formula used to predict the patient’s weight, if the formula is calculated using the formula 100% Patient Upper Arm Circumference (PUAC), it is suitable for ethnic Bugis and Mandar male. The formula 90% PUAC is suitable for ethnic Bugis and Mandar and male ethnic Makassarese and Toraja. The formula 85% is suitable for women for all ethnicities. CONCLUSION: It can be concluded that the accuracy of measuring body weight depends on gender and ethnicity, so it is expected that health practitioners in the hospital can adjust the use of formulas according to gender and ethnicity.


2021 ◽  
pp. 1-12
Author(s):  
Aparna Roy ◽  
T. V. Sekher

Abstract Use of body mass index (BMI) to assess the nutritional status of adolescents requires many resources, especially for country-level assessment. This study aimed to determine the relationship between BMI and mid upper arm circumference (MUAC) among adolescent males and females in India and to examine whether MUAC effectively represents the nutritional status of adolescents. The study utilized anthropometric measurement data collected by India’s National Family Health Survey-4 (2015–16). The weighted sample for analysis included 91,315 female and 14,893 male adolescents. The BMI and MUAC measurements showed a positive correlation in both female and male adolescents. Using BMI-for-age Z-score classifications, 12.7% of the adolescents were undernourished. Using MUAC (in cm) as per NACS (Nutrition Assessment, Counselling, and Support) guidelines and Mramba et al. (2017) classified 22.9% and 3.7% of the adolescents as undernourished respectively. Finally, using the MUAC-for-age Z-score classification, 98.4% of adolescents were determined to be normal and 1.7% undernourished. Sensitivity and specificity tests of the MUAC cut-offs, in comparison with BMI cut-offs, showed that all three MUAC cut-off classifications had high specificity (NACS cut-off: 81.3%; Mramba et al. cut-off (cm): 97.7%; Mramba et al. cut-off (Z-score): 99.1%). The NACS cut-off had moderately high sensitivity (52.2%) but the Mramba et al. cut-offs had low sensitivity (13.3% for the centimetre cut-off and 6.6% for the Z-score cut-off). Sensitivity and specificity tests proved the relationship between BMI and MUAC, and that MUAC represents adolescent nutritional status with considerable efficiency. With further research, it may be established that MUAC is a better and promising measure of adolescent nutrition, having the advantage of needing fewer resources for data collection. The MUAC has the potential to offer a simple and low-resource alternative to BMI to assess nutritional status among adolescents in poor countries.


2021 ◽  
Vol 224 (2) ◽  
pp. S43
Author(s):  
Ashley A. Appiagyei ◽  
Bellington Vwalika ◽  
Anne West Honart ◽  
Andrew Kumwenda ◽  
Chileshe Mabula ◽  
...  

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